Alemi, Alexander A.

1. On Variational Bounds of Mutual Information
   2019/05/16 by Ben Poole, Poole, Ben, Sherjil Ozair +7 · 50 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
2. TherML: Thermodynamics of Machine Learning
   2018/07/11 by Alexander A. Alemi, Alemi, Alexander A., Ian Fischer +2 · 1 voice · 4 citations
   Physics and Astronomy · Computer Science · #Advanced Thermodynamics and Statistical Mechanics #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference
3. Scaling Exponents Across Parameterizations and Optimizers
   2024/07/08 by Katie Everett, Lechao Xiao, Everett, Katie +19 · 2 voices · 18 citations
   #cs.LG
4. Does Knowledge Distillation Really Work?
   2021/06/10 by Samuel Stanton, Stanton, Samuel, Pavel Izmailov +7 · 18 citations
   Computer Science · Physics and Astronomy · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks
5. WAIC, but Why? Generative Ensembles for Robust Anomaly Detection
   2018/10/02 by Hyunsun Choi, Eric Jang, Choi, Hyunsun +3 · 23 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning #Network Security and Intrusion Detection
6. On the Use of ArXiv as a Dataset
   2019/04/30 by Clement, Colin B., Bierbaum, Matthew, O'Keeffe, Kevin P. +1 · 10 citations
   #FOS: Computer and information sciences #FOS: Physical sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
7. Neural Tangents: Fast and Easy Infinite Neural Networks in Python
   2019/12/05 by Roman Novak, Novak, Roman, Lechao Xiao +11 · 11 citations
   Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning
8. Density of States Estimation for Out-of-Distribution Detection
   2020/06/16 by Warren R. Morningstar, Cusuh Ham, Morningstar, Warren R. +9 · 6 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Improved generator objectives for GANs
   2016/12/08 by Poole, Ben, Alemi, Alexander A., Sohl-Dickstein, Jascha +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
10. GILBO: One Metric to Measure Them All
    2018/02/13 by Alemi, Alexander A., Fischer, Ian · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. Uncertainty in the Variational Information Bottleneck
    2018/07/02 by Alemi, Alexander A., Fischer, Ian, Dillon, Joshua V. · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
12. Weighted Ensemble Self-Supervised Learning
    2022/11/18 by Yangjun Ruan, Ruan, Yangjun, Saurabh Singh +11 · 3 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
13. Fixing a Broken ELBO
    2017/11/01 by Alemi, Alexander A., Poole, Ben, Fischer, Ian +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
14. On Predictive Information in RNNs
    2019/10/21 by Zhe Dong, Dong, Zhe, Deniz Oktay +5 · 1 citation
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural dynamics and brain function
15. Speed Limits for Deep Learning
    2023/07/27 by Seroussi, Inbar, Alemi, Alexander A., Helias, Moritz +1 · 1 citation
    #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)